6.6k citations · 13.6k across the 59 of their papers we have counts for
60 papers
Euclid preparation. XCVIII. Cosmology Likelihood for Observables in Euclid (CLOE). 5: Extensions beyond the standard modelling of theoretical probes and systematic effects
Euclid Collaboration, L. W. K. Goh, A. Nouri-Zonoz +301
Euclid is expected to establish new state-of-the-art constraints on extensions beyond the standard LCDM cosmological model by measuring the positions and shapes of billions of gala…
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Euclid Collaboration, B. Aussel, S. Kruk +255
The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…
Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images
Euclid Collaboration, L. Bisigello, C. J. Conselice +196
Next generation telescopes, like Euclid, Rubin/LSST, and Roman, will open new windows on the Universe, allowing us to infer physical properties for tens of millions of galaxies. Ma…
ShapeNet: Shape Constraint for Galaxy Image Deconvolution
F. Nammour, U. Akhaury, J. N. Girard +4
Deep Learning (DL) has shown remarkable results in solving inverse problems in various domains. In particular, the Tikhonet approach is very powerful to deconvolve optical astronom…
Euclid preparation: XVIII. Cosmic Dawn Survey. Spitzer observations of the Euclid deep fields and calibration fields
Andrea Moneti, H. J. McCracken, M. Shuntov +194
We present a new infrared survey covering the three Euclid deep fields and four other Euclid calibration fields using Spitzer's Infrared Array Camera (IRAC). We have combined these…
Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering
F. Lepori, I. Tutusaus, C. Viglione +183
We investigate the importance of lensing magnification for estimates of galaxy clustering and its cross-correlation with shear for the photometric sample of Euclid. Using updated s…
Euclid preparation: I. The Euclid Wide Survey
R. Scaramella, J. Amiaux, Y. Mellier +238
Euclid is an ESA mission designed to constrain the properties of dark energy and gravity via weak gravitational lensing and galaxy clustering. It will carry out a wide area imaging…
Euclid Preparation: XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3
Euclid Collaboration, S. A. Stanford, D. Masters +183
The Complete Calibration of the Color-Redshift Relation (C3R2) survey is obtaining spectroscopic redshifts in order to map the relation between galaxy color and redshift to a depth…
Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses
Euclid Collaboration, A. Pocino, I. Tutusaus +157
The accuracy of photometric redshifts (photo-zs) particularly affects the results of the analyses of galaxy clustering with photometrically-selected galaxies (GCph) and weak lensin…
Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography
Euclid Collaboration, O. Ilbert, S. de la Torre +162
The analysis of weak gravitational lensing in wide-field imaging surveys is considered to be a major cosmological probe of dark energy. Our capacity to constrain the dark energy eq…
Euclid: Forecasts for -cut Point Statistics
P. L. Taylor, T. Kitching, V. F. Cardone +92
Modelling uncertainties at small scales, i.e. high in the power spectrum , due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased trac…
Euclid: impact of nonlinear prescriptions on cosmological parameter estimation from weak lensing cosmic shear
M. Martinelli, I. Tutusaus, M. Archidiacono +91
Upcoming surveys will map the growth of large-scale structure with unprecented precision, improving our understanding of the dark sector of the Universe. Unfortunately, much of the…
Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations
Euclid Collaboration, M. Knabenhans, J. Stadel +131
We present a new, updated version of the EuclidEmulator (called EuclidEmulator2), a fast and accurate predictor for the nonlinear correction of the matter power spectrum. Percent-l…
Euclid preparation: X. The Euclid photometric-redshift challenge
Euclid Collaboration, G. Desprez, S. Paltani +170
Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. Howev…
Euclid preparation: VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release
Euclid Collaboration, V. Guglielmo, R. Saglia +145
The Complete Calibration of the Colour-Redshift Relation survey (C3R2) is a spectroscopic effort involving ESO and Keck facilities designed to empirically calibrate the galaxy colo…
Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes
M. Martinelli, C. J. A. P. Martins, S. Nesseris +82
In metric theories of gravity with photon number conservation, the luminosity and angular diameter distances are related via the Etherington relation, also known as the distance-du…
Shear measurement bias II: a fast machine learning calibration method
Arnau Pujol, Jerome Bobin, Florent Sureau +2
We present a new shear calibration method based on machine learning. The method estimates the individual shear responses of the objects from the combination of several measured pro…
Euclid: The importance of galaxy clustering and weak lensing cross-correlations within the photometric Euclid survey
I. Tutusaus, M. Martinelli, V. F. Cardone +87
The data from the Euclid mission will enable the measurement of the photometric redshifts, angular positions, and weak lensing shapes for over a billion galaxies. This large datase…
Euclid: The selection of quiescent and star-forming galaxies using observed colours
L. Bisigello, U. Kuchner, C. J. Conselice +71
The Euclid mission will observe well over a billion galaxies out to and beyond. This will offer an unrivalled opportunity to investigate several key questions for understa…
Deep Learning for space-variant deconvolution in galaxy surveys
Florent Sureau, Alexis Lechat, Jean-Luc Starck
Deconvolution of large survey images with millions of galaxies requires to develop a new generation of methods which can take into account a space variant Point Spread Function (PS…
Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments
Euclid Collaboration, P. Paykari, T. D. Kitching +128
Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear. We present an end-to-end approach that introduces sources of…
Euclid preparation: VII. Forecast validation for Euclid cosmological probes
Euclid Collaboration, A. Blanchard, S. Camera +151
The Euclid space telescope will measure the shapes and redshifts of galaxies to reconstruct the expansion history of the Universe and the growth of cosmic structures. Estimation of…
Euclid preparation: V. Predicted yield of redshift 7<z<9 quasars from the wide survey
Euclid Collaboration, R. Barnett, S. J. Warren +126
We provide predictions of the yield of quasars from the Euclid wide survey, updating the calculation presented in the Euclid Red Book in several ways. We account for revisi…
Representation learning for automated spectroscopic redshift estimation
Joana Frontera-Pons, Florent Sureau, Bruno Moraes +2
Determining the radial positions of galaxies up to a high accuracy depends on the correct identification of salient features in their spectra. Classical techniques for spectroscopi…